The optimal time to buy and hold stock in a reversal

IF 2.8 3区 经济学 Q2 BUSINESS, FINANCE International Journal of Finance & Economics Pub Date : 2023-07-31 DOI:10.1002/ijfe.2868
Xuyuan Han, Zhenya Liu
{"title":"The optimal time to buy and hold stock in a reversal","authors":"Xuyuan Han,&nbsp;Zhenya Liu","doi":"10.1002/ijfe.2868","DOIUrl":null,"url":null,"abstract":"<p>Investors cannot anticipate a return reversal in the stock market. Therefore, choosing the optimal time to buy and hold a stock is vital. This paper formulates a disorder problem using the optimal stopping theory to study the optimal time to buy and hold a stock when a downward trend is about to reverse. The results show that investors should buy a stock when the conditional probability of a return reversal hits an optimal boundary for the first time. The optimal boundary is uniquely determined by the stock return, volatility, and the intensity of return reversal. Moreover, the optimal boundary decreases as the stock volatility and the intensity of return reversal increase. We use the China Securities Index 300 (CSI 300), Standard &amp; Poor's 500 (S&amp;P 500), Dow Jones Industrial Average (DJIA), and Russell 2000 indexes to estimate the parameters and the related optimal boundary. We find that the estimated optimal boundary can be used to time stock buying.</p>","PeriodicalId":47461,"journal":{"name":"International Journal of Finance & Economics","volume":"29 4","pages":"4182-4196"},"PeriodicalIF":2.8000,"publicationDate":"2023-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Finance & Economics","FirstCategoryId":"96","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/ijfe.2868","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 0

Abstract

Investors cannot anticipate a return reversal in the stock market. Therefore, choosing the optimal time to buy and hold a stock is vital. This paper formulates a disorder problem using the optimal stopping theory to study the optimal time to buy and hold a stock when a downward trend is about to reverse. The results show that investors should buy a stock when the conditional probability of a return reversal hits an optimal boundary for the first time. The optimal boundary is uniquely determined by the stock return, volatility, and the intensity of return reversal. Moreover, the optimal boundary decreases as the stock volatility and the intensity of return reversal increase. We use the China Securities Index 300 (CSI 300), Standard & Poor's 500 (S&P 500), Dow Jones Industrial Average (DJIA), and Russell 2000 indexes to estimate the parameters and the related optimal boundary. We find that the estimated optimal boundary can be used to time stock buying.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
在反转行情中买入并持有股票的最佳时机
投资者无法预料股市会出现收益逆转。因此,选择买入并持有股票的最佳时机至关重要。本文利用最优止损理论提出了一个无序问题,研究在下跌趋势即将逆转时买入并持有股票的最佳时机。结果表明,当收益反转的条件概率首次触及最优边界时,投资者应买入股票。最佳边界由股票收益率、波动率和收益率反转的强度唯一决定。此外,最佳边界会随着股票波动率和收益反转强度的增加而减小。我们使用中国证券指数 300(沪深 300)、标准普尔 500(S&P 500)、道琼斯工业平均指数(DJIA)和罗素 2000 指数来估计参数和相关的最优边界。我们发现,估计出的最优边界可用于股票买入时机的确定。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
5.70
自引率
6.90%
发文量
143
期刊最新文献
Issue Information Issue Information Issue Information Issue Information Correction to “Outward foreign direct investment and economic growth in Romania: Evidence from non-linear ARDL approach”
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1